On the Performance of Downlink Channel Estimation‐Based Cell‐Free Massive MIMO Systems Under Correlated Rician Fading Channels by Jiarui Li, Yao Zhang, Fengjiao Gan, Na Liu, Longxiang Yang, Hongbo Zhu

“…ABSTRACT The prevailing research on cell‐free massive multiple‐input multiple‐output (MIMO) systems posits that, due to channel reciprocity and channel hardening properties, user equipment (UEs) can decode downlink data solely based on uplink statistical channel state information (CSI). …”
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A non-linear approach to the establishment of local biological control agent  production units: a case study of fall armyworm in Bangladesh by Mariam A. T. J. Kadzamira, Malvika Chaudhary, Frances Williams, Nirmal K. Dutta

“…Methods Qualitative and quantitative data from maize growing areas in Bangladesh was collected via telephone interviews from key informants representing four key stakeholders—national research institute, regional research stations, farmer producer organisations and agro-dealers. …”
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CRGAN: A Context-Aware Clothing Design and Recommendation System for Young Sri Lankan Females Using Generative Adversarial Networks by Nethmi Pathirana, Azma Imtiaz, Shakir Saheel, Kasun Karunanayaka, Adrian David Cheok

“…Experiment results on a labeled dataset demonstrate the model’s ability to generate accurate and personalized outputs based on up to three input parameters. Results are verified through quantitative model evaluations and user studies, underscoring the system’s potential to redefine personalized fashion recommendations.…”
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Early-life nutrition and its effects on the developing heifer: Growth, nutritive intakes, and metabolism by E.M. Ockenden, V.M. Russo, B.J. Leury, K. Giri, W.J. Wales

“…Results indicate a positive effect of accelerated preweaning nutrition and postweaning growth rate (at 13 mo of age) on these metabolic biomarkers; however, these treatment effects were independent of one another and reflected the nutritional input at the time.…”
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The Impact of Adversity Quotient on Students' Problem-Solving Skills Based on Bransford-Stein’s Theory by Vina Istiqomah, Budi Astuti, Sugiyanto Sugiyanto

“…The research method used is a quantitative method with simple linear regression analysis. …”
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GAN for Semantic Image Synthesis With Laplacian Pyramid and Multi-Scale Channel Attention by Xinhua Dong, Chuang Li, Zhigang Xu, Hongmu Han, Lifeng Jiang

“…Most GAN-based methods utilize semantic layouts as input for generating realistic images. However, these layouts primarily consist of object contours and often lack detailed information, leading to suboptimal image quality in the generated outputs. …”
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Production Elasticity of Layer Farming During the COVID-19 Pandemic in Blitar District by Gunawan Adi Santoso, Budi Hartono, Umi Wisaptiningsih Suwandi

“…The research aims to analyze the input factors of the production that affect the production of layer farming businesses and to assess the production elasticity of these businesses during the COVID-19 pandemic in Blitar District. …”
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THE METHOD OF JITTER DETERMINING IN THE TELECOMMUNICATION NETWORK OF A COMPUTER SYSTEM ON A SPECIAL SOFTWARE PLATFORM by Mykhailo Mozhaiev, Nina Kuchuk, Maksym Usatenko

“…The most significant qualitative and quantitative characteristics of frequency separation are shown in the example of two monochromatic signals, which differ only in carrier frequencies. …”
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Improvement of traffic flow management at intersections using cluster analysis and fuzzy logic by Shepelev Vladimir, Glushkov Aleksandr, Fadina Olga

“…The multi-factor approach is based on the fuzzy logic method, which allows taking into account probabilistic fluctuations in the input parameters and their interrelationships. The obtained results can be used to optimize urban traffic, reduce the number of stops before intersections, increase the traffic capacity of signal-controlle.…”
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Optimización del modelo de atención presencial a usuarios en la agencia pública de empleo en el Sena regional Norte de Santander buscando impactar positivamente en el acceso al emp... by Daniel López-Montañez, Francisco Raúl Arencibia-Pardo, Belisario Peña-Rodríguez

“…These interviews are essential tools for gathering primary data as input for conducting a sector-specific diagnosis of the process, aimed at providing a solid foundation for formulating improvement proposals. …”
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Knowledge distillation for spiking neural networks: aligning features and saliency by Yifan Hu, Guoqi Li, Lei Deng

“…We further empirically demonstrate that the effectiveness of distillation is robust, irrespective of whether high-precision membrane potentials or binary spike trains are used as features. Through a quantitative measure of the consistency between model predictions and the saliency of relevant input pixels, we show that knowledge transfer is grounded in a shared understanding of salient features, rather than the exact replication of numerical activations. …”
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Topographical Organization of Prefrontal Cortex and Adjacent Areas Projections to the Dorsomedial Caudate–Putamen in Rats: A Retrograde Tracing Study by Christopher L. Robison, Theodore Kazan, Rikki L. A. Miller, Tyler Allen, Jason S. Hensley, Sergios Charntikov

“…The dorsomedial caudate–putamen (dmCPu), a key input structure of the basal ganglia, plays a crucial role in goal-directed behaviors and the transition to habits. …”
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Neural Network Models for Ionospheric Electron Density Prediction at a Fixed Altitude Using Neural Architecture Search by Yang Pan, Mingwu Jin, Shun‐Rong Zhang, Simon Wing, Yue Deng

“…The limited improvement of NAS is likely due to the network complexity and the limitation of fully connected NN without the time histories of input parameters.…”
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A Semi-Mechanistic Mathematical Model of Immune Tolerance Induction to Support Preclinical Studies of Human Monoclonal Antibodies in Rats by Paridhi Gupta, Josiah T. Ryman, Vibha Jawa, Bernd Meibohm

“…Model-derived erenumab concentration–time profiles served as input for a quantitative system pharmacology-style semi-mechanistic model of the adaptive immune system to conceptualize the ADA response as a function of the kinetics of CD4⁺ T helper cells and T regulatory cells. …”
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Development of an impact evaluation framework and planning tool for field epidemiology training programs by James A. Flint, Michelle Jack, David Jack, Rachel Hammersley-Mather, David N. Durrheim, Martyn D. Kirk, Tambri Housen

“…A review of the literature and technical input from FETP representatives underpinned its development. …”
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Comparative Analysis of Modulation Strategies for Indirect Matrix Converter Based on RMS Value of Common-mode Voltage by HUANG Linfeng, BAI Huan, YOU Shuai, WEN Liang, ZHANG Cheng, ZHANG Yanlei

“…Indirect matrix converters (IMC) feature an AC-AC configuration without an intermediate DC link and wide application prospects in wind power generation, AC transmission, and various other fields, known for their sinusoidal input/output, high power density, and superior operating efficiency. …”
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Simulation Research of Underground Gas Injection Flow Measurement Based on Fluid-Structure Coupled Heat Transfer Model by YU Jifei, YANG Shukun, XING Xuesong, ZOU Minghua, ZHAO Guangyuan, CHEN Huan, LI Yue, GONG Ruxiang

“…Downhole gas flow measurement is an important technical means to achieve accurate and quantitative stratified gas injection. However, due to the unfixed natural gas components and the complex conditions of underground high temperature and high pressure, the accurate flow measurement and on-site calibration face great challenges. …”
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Spectral Super-Resolution Reconstruction of Multispectral Remote Sensing Images via Clustering-Based Spectral Feature by Wang Benlin, Yu Qinglin, Wang Zuo, Li Weitao, Wang Yong, Liu Huan, Gu Shuangxi, Zhang Lingling, Lv Dong

“…A spectral distance-based joint weighting mechanism integrates outputs from both networks to synthesize HS imagery spatially consistent with the input MS data. Experiments on four benchmark datasets demonstrate that JF-CNNSSR outperforms existing spectral super-resolution methods, achieving significant improvements across key quantitative metrics including peak signal-to-noise ratio, spectral angle mapper, structural similarity index measure, ERGAS, and MSE. …”
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A Convolutional Neural Network for Coastal Classification Based on ALOS and NOAA Satellite Data by Kinh Bac Dang, Van Bao Dang, Quang Thanh Bui, Van Vuong Nguyen, Thi Phuong Nga Pham, Van Liem Ngo

“…Although coastal classification has been attended in recent years, it is still a complicated problem in quantitative geomorphological and hydrological sciences. …”
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Contrast Limited Adaptive Local Histogram Equalization Method for Poor Contrast Image Enhancement by Ibrahim Majid Mohammed, Nor Ashidi Mat Isa

“…This method is designed to enhance image contrast locally and adaptively, without the need for user input. The CLALHE approach consists of several steps: First, multiple enhancements are applied to identify the optimal enhancement parameters. …”
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